Weekend Reading #47
Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.
Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.
This chapter explores advanced asynchronous and parallel programming in .NET, including Tasks, Thread Pools, channels, race conditions, context switches, and best practices.
Weekend Reading is a Digest where we share a selection of the most interesting tech articles from different companies found during the week.
Weekend Reading is a digest where we share a selection of the most interesting tech articles from various companies that we've come across during the week.
This Chapter covers data structures in .NET, collections and their implementations, and performance characteristics.
This article explores essential C# type concepts, providing detailed explanations, code examples, and junior, middle, and senior expectations to enhance your understanding and boost your confidence.
This article will dive into essential concepts every .NET developer should know. This article will focus on C# Core Language and .NET Platform Fundamentals questions.
This guide covered the most popular caching strategies, cache eviction policies, and pitfalls that you might encounter when implementing a cache for your system.
AbstractLess: Approach to avoid complexity in your system architecture
This article explores essential data integration patterns, including ETL, ELT, Change Data Capture (CDC), Data Federation, Data Virtualization, Data Replication, Publish/Subscribe, Request/Reply, and Point-to-Point Integration. Learn how and when to use these patterns for efficient data handling and real-time analytics.
Learn about Change Data Capture (CDC), its use cases, types, advantages, and challenges. Get decision-making guidance for selecting the right CDC method to ensure real-time data updates and integration with systems like data warehouses or analytics platforms.
This article discovers the differences between ETL and ELT processes and how they could be used for data integration.